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Seaweed: a web application for designing economic games
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Source International Conference on Knowledge Discovery and Data Mining archive
Proceedings of the ACM SIGKDD Workshop on Human Computation table of contents
Paris, France
SESSION: Human computation in practice table of contents
Pages 34-35  
Year of Publication: 2009
ISBN:978-1-60558-672-4
Authors
Lydia B. Chilton  MIT CSAIL, Cambridge, MA
Clayton T. Sims  MIT CSAIL, Cambridge, MA
Max Goldman  MIT CSAIL, Cambridge, MA
Greg Little  MIT CSAIL, Cambridge, MA
Robert C. Miller  MIT CSAIL, Cambridge, MA
Sponsors
Microsoft Research : Microsoft Research
: Carnegie Mellon
Publisher
ACM  New York, NY, USA
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ABSTRACT

Seaweed is a web application for experimental economists with no programming background to design two-player symmetric games in a visual-oriented interface. Games are automatically published to the web where players can play against each other remotely and game play is logged so that the game's designer can analyze the data. The design and implementation challenge in Seaweed is to provide an end user programming environment that creates games responsive to events and controlled by logic without the designer understanding programming concepts such as events and synchronization, or being burdened by specifying low-level programming detail. Seaweed achieves this by providing high-level visual representations for variables, control flow, and logic, and by automating behaviors for event handling, synchronization, and function evaluation. Seaweed's evaluation demonstrates that Amazon's Mechanical Turk (MTurk) is a viable platform for forming partnerships between people and paying them to perform cooperative tasks in real-time, cheaply and with high throughput


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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